Large-data-volume relational graph data loading optimization method and system

The invention provides a large-data-volume relational graph data loading optimization method and system. The method comprises the following steps: acquiring all requested relational graph data; judging whether the sum of the numbers of the nodes and the edges of all the relational graph data exceeds...

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Bibliographic Details
Main Authors CUI FENG, HAO CHANGZHENG, CHENG SHU, TIAN JIAFENG, HOU JINMING
Format Patent
LanguageChinese
English
Published 30.12.2022
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The invention provides a large-data-volume relational graph data loading optimization method and system. The method comprises the following steps: acquiring all requested relational graph data; judging whether the sum of the numbers of the nodes and the edges of all the relational graph data exceeds a set value or not, if yes, adopting a preset layout configuration mode of closing repulsive force and animation effect, and otherwise, adopting a user-defined layout configuration mode to complete preliminary rendering of the relational graph; judging whether to accept that the page is in a loading state for a long time, if so, starting loading on the page when the request data is started until the relational graph rendering is finished, and if not, carrying out block processing on the relational graph according to a set unit, and gradually rendering data of nodes and edges of each block; and displaying the finally rendered relation graph. The layout mode can be dynamically changed according to the data volume. 本
Bibliography:Application Number: CN202211137163